-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC2_2.
> log
  log type:  text
 opened on:  19 Feb 2024, 02:29:46

. foreach var in center_open_day center_open_duration_day{
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 $hw
> _controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
  3. }
note: final_stratum_id2 omitted because of collinearity.
note: final_stratum_id4 omitted because of collinearity.
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20... done (23)

Wild cluster bootstrap                             Number of obs      = 2,749
Linear regression                                  Number of clusters =    58
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    18
Error weight: Rademacher                                          avg =  47.4
                                                                  max =   108
-----------------------------------------------------------------------------
         center_open_day |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0007948    0.32   0.786   -.0049689    .0059038
   final_stratum_id1 = 0 |  -.0005647   -0.23   0.827   -.0107571    .0089659
   final_stratum_id3 = 0 |   .0002324    0.15   0.822   -.0061958    .0054666
   final_stratum_id5 = 0 |  -.0034304   -0.72   0.563   -.0356052    .0321917
   final_stratum_id6 = 0 |  -.0096294   -1.30   0.348   -.0731769     .024797
   final_stratum_id7 = 0 |  -.0069208   -1.16   0.452   -.0635542     .047817
   final_stratum_id8 = 0 |  -.0020288   -0.68   0.479   -.0155591    .0127871
   final_stratum_id9 = 0 |  -.0002787   -0.12   0.874   -.0100714     .007046
  final_stratum_id10 = 0 |  -.0032066   -0.87   0.468   -.0323298    .0303974
  final_stratum_id11 = 0 |  -.0046955   -1.20   0.298   -.0393356    .0253836
  final_stratum_id12 = 0 |  -.0014603   -0.26   0.820   -.0455202    .0372428
  final_stratum_id13 = 0 |  -.0001371   -0.07   0.950   -.0045961    .0043605
              b_age_ = 0 |   .0000352    0.23   0.826   -.0003544    .0003204
      b_jobs_bef_oa_ = 0 |   .0025247    0.69   0.527   -.0057822    .0118221
               male_ = 0 |  -.0011296   -0.25   0.836   -.0120339    .0087858
          gen_caste_ = 0 |    .000017    0.01   0.985   -.0059451    .0063377
              hindu_ = 0 |  -.0012154   -0.64   0.480   -.0050272    .0022479
     twelveandbelow_ = 0 |  -.0069154   -1.61   0.389   -.0489964     .039758
           tertiary_ = 0 |  -.0051685   -1.22   0.397   -.0312142    .0267719
           hhd_size_ = 0 |  -.0001834   -0.45   0.674   -.0010792     .000698
           ownhouse_ = 0 |   .0009162    0.38   0.709   -.0037391    .0057883
 twelveandbelow_dum_ = 0 |  -.0043281   -0.94   0.448   -.0347433    .0216845
       hhd_size_dum_ = 0 |   .0009503    0.32   0.730   -.0043227    .0078485
-----------------------------------------------------------------------------
note: final_stratum_id2 omitted because of collinearity.
note: final_stratum_id4 omitted because of collinearity.
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.........30.........40......... done (49)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30... done (33)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                             Number of obs      = 2,414
Linear regression                                  Number of clusters =    58
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    17
Error weight: Rademacher                                          avg =  41.6
                                                                  max =   105
-----------------------------------------------------------------------------
center_open_duration_day |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   9.158154    0.63   0.599   -32.50283    43.53182
   final_stratum_id1 = 0 |   .4253079    0.01   0.991   -249.0895    923.8438
   final_stratum_id3 = 0 |   52.35221    1.40   0.377    -416.629    823.2205
   final_stratum_id5 = 0 |  -43.74802   -1.03   0.591   -247.4883    437.1756
   final_stratum_id6 = 0 |  -63.33177   -1.44   0.396   -198.9288    133.4142
   final_stratum_id7 = 0 |  -60.71602   -1.35   0.410   -261.2543    162.7399
   final_stratum_id8 = 0 |   19.18749    0.47   0.747   -162.7852    468.2083
   final_stratum_id9 = 0 |  -58.13117   -1.45   0.466   -271.1306    857.3268
  final_stratum_id10 = 0 |  -51.71156   -1.27   0.531    -249.849    723.0344
  final_stratum_id11 = 0 |  -147.3926   -3.89   0.047   -289.7685   -61.80872
  final_stratum_id12 = 0 |  -255.0029   -4.95   0.111   -738.2274    898.5715
  final_stratum_id13 = 0 |   -162.814   -3.83   0.045   -302.6785    -4.32637
              b_age_ = 0 |   .5203581    0.54   0.620   -1.725894    3.356131
      b_jobs_bef_oa_ = 0 |    10.2758    0.52   0.648   -38.71077    58.49558
               male_ = 0 |  -8.972432   -0.30   0.802   -101.2405    72.53739
          gen_caste_ = 0 |  -2.429196   -0.18   0.906   -35.41195    33.76449
              hindu_ = 0 |   -21.8032   -1.16   0.351   -65.19055    26.71818
     twelveandbelow_ = 0 |   11.53942    0.42   0.735   -410.0507    338.0088
           tertiary_ = 0 |  -10.01951   -0.37   0.768   -243.6786    225.2237
           hhd_size_ = 0 |  -9.790605   -3.46   0.002   -17.14694   -3.232533
           ownhouse_ = 0 |   25.69959    1.26   0.375   -20.11812    83.32397
 twelveandbelow_dum_ = 0 |  -8.893529   -0.33   0.759   -240.4642    200.5135
       hhd_size_dum_ = 0 |  -80.67774   -2.76   0.106   -170.7487    45.90217
-----------------------------------------------------------------------------

. log close
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC2_2.
> log
  log type:  text
 closed on:  19 Feb 2024, 02:30:11
-----------------------------------------------------------------------------------
